Multi-Agent Software System Modular Service Architecture
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Solution Overview
Problem
Current enterprise multi-agent software systems lack efficiency in decision-making and customer interaction, leading to suboptimal help-desk operations and limited customer self-service capabilities.
Innovation Solution
A computer system with core service, intelligent service, and organization service modules that enable software agents to perform specific tasks, interact with data sources, and manage other software programs, facilitating efficient decision-making, customer interaction, and knowledge discovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional enterprise multi-agent software systems are used, then basic decision-making functionality is provided, but efficiency in decision-making and customer interaction deteriorates
Solution Approach 1:
The system is segmented into multiple independent service modules (core service modules, intelligent service modules, organization service modules) that can be selectively invoked. Each module encapsulates specific functionality, allowing the system to achieve high productivity through modular composition without overwhelming complexity in any single component.
Solution Approach 2:
The service modules are designed with universal interfaces and standardized communication protocols that allow them to be reused across different agent systems and application scenarios. This multi-functionality enables the same module to serve multiple purposes, improving overall system efficiency without proportionally increasing complexity.
2Reliability
If more service modules are added to enhance functionality, then customer service quality improves, but system complexity increases
Solution Approach 1:
Organization service modules act as intermediaries that manage and coordinate the invocation of core and intelligent service modules. This intermediary layer abstracts the complexity of multiple service modules, presenting a simplified interface to agent systems while maintaining service quality consistency through standardized management protocols.
Solution Approach 2:
The system incorporates feedback mechanisms where service modules report their status, performance metrics, and interaction outcomes. This feedback enables dynamic adjustment and coordination of multiple modules, ensuring consistent service quality even as the number of modules increases, while the standardized feedback protocols prevent complexity from becoming unmanageable.
Data Source
AI summary
A system and techniques are disclosed to provide a multi-agent software environment. The system provides several service modules that may be used by software programs to accomplish specific tasks. In one illustrative example, a first program module includes instructions to call core service software modules. The exemplary system further includes a second program module including instructions to call one of multiple intelligent service software modules. In some examples, an intelligent service software module includes program instructions that when executed perform an intelligent service function that includes execution of an intelligent engine. In some examples, the intelligent engine is callable by at least two of the intelligent service software modules.